What is Foundry AI?
The platform also includes an annotation framework, facilitating the collection of high-quality ground truth labels necessary for training and refining browser agents. By combining simulation with annotation capabilities, Foundry AI enables users to effectively benchmark agent performance, debug issues, and continuously improve their models in a controlled and scalable manner.
Features
- Deterministic Web Simulation: Offers reproducible web environments for fair agent evaluation, eliminating live web inconsistencies.
- Scalable Annotation Framework: Enables collection of high-quality ground truth labels for agent training and benchmarking.
- Agent Debugging Tools: Facilitates identification and resolution of performance issues in browser agents.
- Continuous Improvement Support: Provides tools for ongoing performance monitoring and enhancement of web agents.
Use Cases
- Testing and evaluating browser agent performance.
- Collecting high-quality training data for web agents.
- Benchmarking different agent models or versions.
- Debugging and improving web agent reliability.
- Developing web agents without risks associated with live web interaction (IP bans, rate limits).
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